Enhancing face recognition at a distance using super resolution
Proceedings of the on Multimedia and security
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Images are often degraded by undersampling and aliasing that occurs in many imaging systems. Super- resolution reconstructs a high-resolution image from a sequence of observed low-resolution images. This paper presents a mathematical justification of the IISR reconstruction algorithm formulated in [1] on intuitive grounds. It is then shown that by combining the IISR method with a regularized optimization approach to super-resolution, the reconstruction process can be improved. Numerical results for reconstruction are presented.